Evidence map›Paper›PMID 16371151›Full record

ArticleComparative hepatology2005

Kinetics of hepatitis C virus RNA load during pegylated interferon alpha-2a and ribavirin treatment in naïve genotype 1 patients.

Denis Ouzan, Hacène Khiri, Guillaume Pénaranda, Hélène Joly, Philippe Halfon

Registry-linked trialAbstract read
In one paragraph

Article in Comparative hepatology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00543244 (Early Prediction of Successful Treatment for Chronic Hepatitis C Virus Infection in Taiwan), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00543244 unknown statusnot on this mapstarted 2006, after this paper: background citation

Early Prediction of Successful Treatment for Chronic Hepatitis C Virus Infection in Taiwan

TypeobservationalSponsorNational Taiwan University HospitalRan2006 to 2008Enrolled300ConditionsChronic Hepatitis CArmsPegylated interferon alfa and ribavirin
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Managing chronic hepatitis C in the difficult-to-treat patient.Liver international : official journal of the International Association for the Study of the Liver · 2007
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Denis OuzanArnault Tzanck Institut, Saint Laurent du Var, France. denis.ouzan@wanadoo.fr
Hacène Khiri
Guillaume Pénaranda
Hélène Joly
Philippe Halfon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPegylated interferon given for 24 or 48 weeks constitutes the most effective initial therapy for the treatment of chronic hepatitis C. It has been shown that viral load at week 2 appears the best time for predicting response to treatment. The objectives of this study were to assess whether the hepatitis C virus (HCV) RNA viral decline is predictive of sustained virological response (SVR) and to determine the best time for predicting complete response in our cohort of naïve patients treated with pegylated interferon alpha-2a (Peg-IFN alpha-2a) and ribavirin.

resultsTwenty patients treated with Peg-IFN alpha-2a and ribavirin for 48 weeks were studied. Six months after the end of treatment, a SVR (negative HCV RNA measured by PCR six months after the end of therapy) was obtained in 9 patients. Samples were obtained before and at week 2, 4, 8, and 12. At the end of week 2, viral load decreased more than 1.39 log in 8 out of the 9 patients with SVR and in 1 out of the 11 other patients. When we considered the viral load reduction from baseline to each week of treatment, week 2 appeared to be the best point time for predicting SVR, with a sensitivity of 91% (95%CI: 59;99), a specificity of 89% (52;98), a positive predictive value of 91% (59;99) and a negative predictive value of 89% (57;98).

conclusionDuring treatment with Peg-IFN alpha-2a plus ribavirin in genotype 1 patients, when the main objective of the treatment is viral eradication, viral kinetics showed that week 2 appeared to be the best time point for predicting SVR. Our results must be further confirmed on a larger cohort.

Identifiers

PMID16371151
PMCPMC1343582

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Registered trials

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